On the occasion of Ada Lovelace Day on 10 October 2017, robohub presented their annual list of “25 women in robotics you need to know about”. Recently, Jeannette Bohg became Assistant Professor in Computer Science at Stanford. She is Guest Researcher at the Autonomous Motion Department of MPI, where she did her research on robotics between 2012 and 2017.
Congratulations!

at the 2017 IEEE/RAS International Conference on Robotics and Automation

The paper "Probabilistic Articulated Real-Time Tracking for Robot Manipulation" by Cristina Garcia Cifuentes, Jan Issac, Manuel Wüthrich, Stefan Schaal and Jeannette Bohg was finalist for the Best Robotic Vision paper at the 2017 IEEE/RAS International Conference on Robotics and Automation.

Robotics researchers have developed a novel adaptive control approach based on online learning that allows for the correction of dynamics errors in real time using the data stream from the robot. The strategy is described in an article published in Big Data, a peer-reviewed journal from Mary Ann Liebert, Inc., publishers. The article is available free on the Big Data website until March 14, 2017.

... new big data methods have the potential to allow robots to understand and operate in significantly more complex environments than was possible even in the recent past. This should lead to a qualitative leap in the performance and deployability of robotics in a wide array of practical applications and real settings.

Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems